Pi Babysit: address PR #7741 feedback

Author: Sim Pi Agent

apps/sim/content/library/top-ai-assistants-2026/index.mdx

@@ -6,22 +6,22 @@ date: 2026-09-10
 updated: 2026-09-10
 authors:
   - andrew
-readingTime: 10
+readingTime: 12
 tags: [AI Assistants, AI Agents, Productivity, Sim]
 ogImage: /library/top-ai-assistants-2026/cover.jpg
 canonical: https://www.sim.ai/library/top-ai-assistants-2026
 draft: false
 faq:
   - q: "What is the difference between an AI chat app and a personal AI assistant?"
-    a: "An AI chat app (such as ChatGPT or Claude) is a reactive window: it generates text when prompted, cannot take actions outside its web sandbox, and isolates history within disposable threads. A personal AI assistant (such as Vellum) lives on your computer, maintains continuous memory across devices, and proactively takes real-world actions on your behalf—such as managing calendars, triaging email, monitoring web feeds, and executing scheduled tasks. Choose a chat app for ad-hoc brainstorming and a personal assistant for ongoing operational work."
+    a: "An AI chat app (such as ChatGPT or Claude) is primarily a hosted conversational interface that generates responses when prompted. Some chat apps now support scheduled tasks or connector-based actions, but those capabilities are limited to supported services and differ from unrestricted local execution. A personal AI assistant focuses on continuous context and ongoing operational work, which can include managing calendars, triaging email, monitoring web feeds, and executing scheduled tasks."
   - q: "Which privacy features should I look for in an AI assistant?"
-    a: "If data privacy is a priority, look for three safeguards: local-first data custody, an isolated hardware credential vault, and model autonomy. Many cloud assistants retain conversation logs to train models or store sensitive API keys on shared servers. Platforms like Vellum keep your memory and credentials in a hardware-backed vault on your local machine—with none of your data accessible by the platform unless you opt in—and let you route queries through offline local models (such as Ollama) for zero data leakage."
+    a: "If data privacy is a priority, review where workspace data, credentials, and model inference are processed. Useful safeguards include local-first data custody, an isolated credential vault, clear retention controls, and explicit model-routing policies. Self-hosted Vellum can keep workspace data on the local machine, but its documented default inference path still uses a cloud AI model, so local hosting alone does not guarantee zero data leakage."
   - q: "Can an AI assistant execute actions on my computer safely?"
     a: "Safe personal AI assistants use deterministic permission tiers and human-in-the-loop approval gates. While an assistant can autonomously handle low-risk background tasks (such as compiling web research or monitoring feeds), any state-changing or sensitive action—such as sending an external email, modifying files, executing terminal scripts, or initiating payments—requires your direct confirmation before execution."
   - q: "How does continuous memory work in modern AI assistants?"
     a: "Continuous memory allows an assistant to retain user preferences, active projects, context, and operational habits over months of work rather than resetting per thread. While conventional chat apps offer limited session memory within a single browser, advanced personal assistants unify your memory layer across Mac, mobile, web, and team chat. When you update a task on mobile or mention a preference via voice, your desktop assistant immediately carries that context into its next background run."
   - q: "Can an AI assistant run on my local machine and work offline?"
-    a: "Yes, provided the platform supports local open-source model runtimes. While mainstream services like ChatGPT, Claude, and Microsoft Copilot require permanent connections to proprietary cloud servers, open-source personal assistants like Vellum support local model engines like Ollama. This architecture allows you to run private inference, document analysis, and script automations entirely offline on your local hardware without transmitting sensitive data over the internet."
+    a: "Only if the platform and deployment explicitly support local inference. Vellum's documented local hosting keeps workspace data on the machine but still sends inference through a cloud AI model, so that setup should not be described as fully offline. Truly offline operation requires a local model runtime and features that do not depend on network services."
   - q: "Is a free AI assistant good enough for personal and work use?"
     a: "A free tier is generally sufficient for occasional writing, web search, summarization, and brainstorming. However, free plans for conversational apps typically restrict context windows, rate-limit access to top-tier reasoning models, and lack background execution. If you rely on an assistant to manage day-to-day operations, coordinate calendars, and run continuous workflows, start with a free plan to evaluate the workflow fit, then upgrade compute and storage as daily task volume expands."
 ---